se.uu.it.cp

UnderlyingAlgorithm

Related Doc: package cp

abstract class UnderlyingAlgorithm[DataPoint] extends Serializable

Defines an underlying algorithm to be used when training a conformal predictor.

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Instance Constructors

  1. new UnderlyingAlgorithm()

    it trains a new underlying algorithm

Abstract Value Members

  1. abstract def getDataPointFeatures(dataPoint: DataPoint): Seq[Double]

    Given a DataPoint returns its feature sequence.

    Given a DataPoint returns its feature sequence.

    dataPoint

    a data point

    returns

    data point feature sequence

  2. abstract def getDataPointLabel(dataPoint: DataPoint): Double

    Given a DataPoint returns its feature sequence.

    Given a DataPoint returns its feature sequence.

    dataPoint

    a data point

    returns

    data point label

  3. abstract def makeDataPoint(features: Seq[Double], label: Double): DataPoint

    Given a feature sequence and a label it makes a DataPoint.

    Given a feature sequence and a label it makes a DataPoint.

    features

    data point feature sequence

    label

    data point label

    returns

    DataPoint with given feature sequence and label

  4. abstract def nonConformityMeasure(newSample: DataPoint): Double

    Given an unseen sample it returns a nonconformity score.

    Given an unseen sample it returns a nonconformity score.

    newSample

    an unseen sample

    returns

    nonconformity score for newSample

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